EAGER: Aggregating Online Information in Science

该项目继续开发AITopics信息门户，为人工智能研究社区提供服务，并为公众提供教育资源。 该门户网站可以在www.aitopics.org上找到。该网站最初的设想是作为人工智能社区和公众使用的介绍性和历史性文章的汇编。最初的原型是由人工智能促进协会（AAAI）的志愿者手动完成的。在此之后，2012年开展了一项由国家基金会资助的工作，以减少志愿人员所需的时间，同时不降低所提供信息的质量。该项目通过自动化从文献中选择内容发布在网站上的耗时过程，以及通过增强部署的AI新闻搜索程序来为网站提供新鲜内容，从而提高了门户网站的复杂性。这项工作的最终目标是建立一个普遍有用的内容管理框架，适用于所有科学领域的这种外联工作。该项目的活动包括：A）开发Newsletter程序，浏览在线人工智能期刊以及当前期刊，以查找有趣的综述文章; B）创建额外的内容管理技术，包括用户交互和反馈工具;为搜索引擎创建元数据，创建摘要描述;自动学习感兴趣项目的标准; C）继续策划经典书籍和论文的在线版本，包括扫描仅以硬拷贝提供的材料; D）扩展NewsStrip以查找描述每个应用领域的新应用的文章; E）以及向新技术领域的从业者提供有用的信息，包括按行业和问题类型对IAAI论文进行分类;以及F）扩大使用社交媒体和移动的设备来完善和提供信息。

This project continues the development of the AITopics information portal, a service to the Artificial Intelligence research community and an educational resource for the general public. The portal can be found at www.aitopics.org. This site was originally conceived as a compendium of introductory and historical articles about artificial intelligence for use by the AI community as well as the general public. The initial prototype was a manual effort conducted by volunteers at the Association for the Advancement of Artificial Intelligence (AAAI). Following this, an NSF-funded effort was undertaken in 2012 to reduce the time required of volunteers without reducing the quality of information provided. This project advances the sophistication of the portal by automating the time-consuming process of selecting content from the literature to post on the website, and by enhancing a deployed AI news finder program employed to feed the site with fresh content. The ultimate goal of this work is to build a generally useful content management framework that would be applicable to such outreach effort across all sciences. The project activities include A) development of the NewsFinder program to browse online AI journals as well as current periodicals to find interesting overview articles; B) creation of additional content management technology including tools for user interaction and feedback; creation of meta-data for search engines, creation of summary descriptions; automatically learning criteria for interesting items; and creation of tools to identify new topics as the field changes; C) continued curating of online versions of classic books and papers, including scanning material only available in hard copy; D) extension of NewsFinder to find articles describing new applications in each Applications area; E) as well as to provide useful information to practitioners in a new area of technology, including classification of IAAI papers by industry and type of problem; and F) expansion of the use of social media and mobile devices to refine and deliver information.